/usr/include/ITK-4.5/itkIsoDataThresholdCalculator.hxx is in libinsighttoolkit4-dev 4.5.0-3.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
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*
* Copyright Insight Software Consortium
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0.txt
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
*=========================================================================*/
#ifndef __itkIsoDataThresholdCalculator_hxx
#define __itkIsoDataThresholdCalculator_hxx
#include "itkIsoDataThresholdCalculator.h"
#include "vnl/vnl_math.h"
#include "itkProgressReporter.h"
namespace itk
{
/*
* Compute the IsoData's threshold
*/
template<typename THistogram, typename TOutput>
void
IsoDataThresholdCalculator<THistogram, TOutput>
::GenerateData(void)
{
const HistogramType * histogram = this->GetInput();
// histogram->Print(std::cout);
if ( histogram->GetTotalFrequency() == 0 )
{
itkExceptionMacro(<< "Histogram is empty");
}
SizeValueType size = histogram->GetSize(0);
ProgressReporter progress(this, 0, size );
if( size == 1 )
{
this->GetOutput()->Set( static_cast< OutputType >( histogram->GetMeasurement(0,0) ) );
return;
}
InstanceIdentifier currentPos = 0;
while (true)
{
// std::cout << "currentPos: " << currentPos << std::endl;
// skip the empty bins to speed up things
for( InstanceIdentifier i = currentPos; i < size; i++)
{
if( histogram->GetFrequency(i, 0) > 0 )
{
currentPos = i;
break;
}
progress.CompletedPixel();
}
if( currentPos >= size )
{
// can't compute the isodata value - use the mean instead
this->GetOutput()->Set( static_cast<OutputType>( histogram->Mean(0) ) );
return;
}
// compute the mean of the lower values
double l = 0;
double totl = 0;
for( InstanceIdentifier i = 0; i <= currentPos; i++)
{
totl += static_cast< double >( histogram->GetFrequency(i, 0) );
l += static_cast< double >( histogram->GetMeasurement(i, 0) ) * static_cast< double >( histogram->GetFrequency(i, 0) );
}
// compute the mean of the higher values
double h = 0;
double toth = 0;
for( InstanceIdentifier i = currentPos + 1; i < size; i++)
{
toth += static_cast< double >( histogram->GetFrequency(i, 0) );
h += static_cast< double >( histogram->GetMeasurement(i, 0) ) * static_cast< double >( histogram->GetFrequency(i, 0) );
}
// a test to avoid a potential division by 0
if( ( totl > vnl_math::eps ) && ( toth > vnl_math::eps ) )
{
l /= totl;
h /= toth;
if( histogram->GetMeasurement( currentPos, 0 ) >= (l + h) * 0.5 )
{
this->GetOutput()->Set( static_cast<OutputType>( histogram->GetMeasurement( currentPos, 0 ) ) );
return;
}
}
++currentPos;
progress.CompletedPixel();
}
}
} // end namespace itk
#endif
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